UMBC
2026 Team Stats (31 games)
76.5
PPG
67.1
Opp
+9.4
Margin
47.0%
FG%
36.3%
3P%
75.4%
FT%
35.8
RPG
11.8
APG
9.5
TO
75.2
Pace
72.0
AdjO
74.8
AdjD
#207
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1164 (#63) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 999 (#182) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1161 (#12) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.0 (#211) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.9 (#117) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.757 (#44) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.865 (#60) | NetEff +18.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.392 (#209) | AdjNet -3.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.386 (#211) | AdjNet -4.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.436 (#207) | AdjO 72.0 | AdjD 74.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.720 (#34) | AdjO 77.3 | AdjD 66.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.808 (#121) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.801 (#94) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1146 (#95) | RD 119 | GP 31 |
2026 Schedule & Results
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jah'Likai King
|
- | 30 | 32.2 | 13.7 | 3.5 | 1.5 | 0.9 | 0.2 | 1.3 | 11.2 | 7.2 | 20 | 1.1 | 1.6 | 40.8 | 32.4 | 82.0 | -0.29 | 53.3 | 47.5 |
D. Armstrong
|
- | 31 | 32.3 | 13.5 | 2.9 | 1.9 | 0.8 | 0.3 | 0.9 | 9.3 | 9.3 | 93 | 4.7 | 6.9 | 46.7 | 42.6 | 92.9 | -0.18 | 65.9 | 61.7 |
Ace Valentine
|
- | 30 | 32.9 | 11.9 | 4.3 | 3.8 | 0.9 | 0.0 | 1.3 | 8.5 | 11.2 | 71 | 3.7 | 6.0 | 50.4 | 35.6 | 76.5 | -0.19 | 61.4 | 57.7 |
C. Diggs
|
F | 30 | 22.7 | 9.8 | 3.8 | 0.9 | 0.6 | 0.3 | 1.3 | 7.9 | 6.4 | 89 | 4.9 | 9.8 | 47.5 | 34.3 | 74.2 | -0.02 | 55.6 | 52.3 |
J. Odunowo
|
- | 28 | 22.4 | 8.3 | 5.1 | 0.9 | 0.2 | 0.4 | 1.0 | 5.5 | 8.4 | 56 | 2.9 | 6.9 | 52.3 | 0 | 73.7 | 0.17 | 58.9 | 52.3 |
Jose Roberto Tanchyn
|
- | 30 | 19.9 | 6.7 | 5.9 | 0.9 | 0.6 | 0.6 | 0.8 | 5.2 | 8.7 | 45 | 2.4 | 7.6 | 48.4 | 37.3 | 64.9 | -0.24 | 58.0 | 56.4 |
Daylon Dickerson
|
- | 19 | 14.3 | 6.2 | 3.4 | 1.2 | 0.3 | 0.3 | 1.0 | 3.6 | 6.8 | -4 | -0.2 | -0.8 | 58.8 | 28.6 | 74.5 | -0.65 | 66.0 | 60.3 |
C. Downing
|
- | 29 | 12.7 | 4.1 | 0.9 | 0.6 | 0.2 | 0.0 | 0.3 | 3.3 | 2.3 | 41 | 2.3 | 10.2 | 41.1 | 38.4 | 81.2 | -0.44 | 58.3 | 55.8 |
Riley Jacobs
|
- | 30 | 15.0 | 4.1 | 3.7 | 0.7 | 0.3 | 0.5 | 0.9 | 3.2 | 5.2 | 61 | 3.2 | 9.6 | 48.5 | 0.0 | 54.5 | 0.13 | 51.2 | 48.5 |
Tim Eze
|
- | 14 | 5.9 | 1.9 | 1.1 | 0.1 | 0.4 | 0.0 | 0.4 | 1.7 | 1.5 | 10 | 1.1 | 14.4 | 45.8 | 0.0 | 62.5 | 0.0 | 49.1 | 45.8 |
Paul Greene
|
- | 20 | 7.4 | 1.9 | 2.2 | 0.2 | 0.6 | 0.0 | 0.6 | 1.6 | 2.7 | -33 | -3.3 | -18.8 | 45.5 | 0 | 60.0 | -0.65 | 49.2 | 45.5 |
Jake Stout
|
- | 10 | 3.5 | 1.3 | 0.3 | 0.2 | 0.0 | 0.0 | 0.1 | 1.2 | 0.5 | 6 | 1.5 | 71.6 | 41.7 | 25.0 | 100.0 | 0.03 | 52.3 | 50.0 |
Saahil Thakkar
|
- | 6 | 1.7 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.7 | -0.2 | -2 | -0.7 | -75.0 | 25.0 | 25.0 | 0 | -0.02 | 37.5 | 37.5 |
D. Ceaser
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -8 | -2.7 | -24.5 | - | - | - | -0.15 | - | - |
R. Ciunys
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG